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Closeness spectra and structural uniqueness of special graph classes

Qaisar Farhad, Mumtaz Hussain and Shou-Jun Xu

Applied Mathematics and Computation, 2026, vol. 509, issue C

Abstract: For a graph G with vertex set V(G) and edge set E(G). Let d(u,v) be the distance between vertices u and v. The closeness matrix of a graph G is a symmetric matrix, where each entry cG(u,v) is defined as cG(u,v)=2−d(u,v) for u≠v, and cG(u,v)=0, if u=v. In the present study, we investigate the closeness spectra of connected graphs and inquire whether specific graph classes may be distinguished by their closeness eigenvalues. We inspect the tree T3,n−3, the path Pn, the complete graph Kn, and the join graph (P1∪P3)∨Kn−4‾. Applying careful spectral computation, we demonstrate that such graphs are uniquely specified by their closeness spectra. Additionally, we confirm that the tree T3,n−3 achieves the second-smallest closeness eigenvalue among trees of diameter 3. Our findings emphasize the importance of closeness matrices in spectral graph theory and lead to more clarity of the relationship between the structure of graphs and its spectrum.

Keywords: Closeness; Closeness matrix; Closeness eigenvalue (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:509:y:2026:i:c:s0096300325003923

DOI: 10.1016/j.amc.2025.129666

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